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Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a detail-oriented and skilled Director of Payroll to join our growing Finance team in Singapore. In this role, you will be responsible for managing all aspects of international payroll processing, ensuring accuracy, compliance, and timely delivery of payroll services to our employees across multiple countries. This role will report to our Head of International Accounting with a dotted line to the Head of Global Payroll. Responsibilities: Execute full-cycle payroll processing for APAC international entities including India, Japan, South Korea, Australia, Singapore, and many more as we expand. Support expansion of payroll operations to new countries including Singapore, New Zealand, and others Support Corporate Accounting with month-end payroll related accounting tasks and questions Ensure compliance with local tax regulations and employment laws across all jurisdictions Manage relationships with third-party payroll providers Respond to employee inquiries regarding international payroll matters in a timely and professional manner Partner closely with the equity team to process stock options Resolve international tax notices from various tax authorities Collaborate with People, Tax, Global Mobility, Finance, and other departments to resolve payroll discrepancies and implement process improvements Assist in preparing international payroll reports and analytics for management review Support payroll systems integration projects and process automation initiatives Process end-to-end payroll using Workday and Global Payroll Platform (PwC) You may be a good fit if you Hold a bachelor's degree in Accounting, Finance, or related field Have 10+ years of experience in payroll operations, with at least 5 years in international payroll Are proficient in payroll processing for various compensation types (regular, off-cycle, severance, taxable benefits, and equity) Have strong knowledge of international payroll regulations and compliance requirements Are experienced with payroll journal entries, account reconciliations, and month-end close procedures Have experience working with Workday HRIS and global payroll providers such as PwC GPP platform (preferred) Possess excellent attention to detail, ability to multitask and maintain accuracy under tight deadlines Have strong analytical and problem-solving skills Are proficient in Microsoft Excel and Google Sheets Strong candidates may also: Have experience supporting rapid international expansion Possess knowledge of European employment law and tax regulations Have experience with payroll systems implementations Be familiar with Workday or other major HRIS platforms Hold a bachelor's degree in Accounting, Finance, or related field Have 5-6+ years of experience in payroll operations, with at least 3 years in international payroll Are proficient in payroll processing for various compensation types (regular, off-cycle, severance, taxable benefits, and equity) Have strong knowledge of international payroll regulations and compliance requirements Are experienced with payroll journal entries, account reconciliations, and month-end close procedures Have experience working with Workday HRIS and global payroll providers Possess excellent attention to detail, ability to multitask and maintain accuracy under tight deadlines Have strong analytical and problem-solving skills Are proficient in Microsoft Excel and Google Sheets Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity The Core Trading Risk Product team builds the core trading infrastructure and platform-level risk capabilities that support OKX’s spot and derivatives businesses across multiple account and margin modes. We are looking for a Senior Product Manager to lead the delivery of trading risk workflow automation, agentic parameter governance, agent-driven execution, and foundational price-protection capabilities. Your scope will also include margin-tier rules, collateral haircuts, price limits, index price, and mark price across spot, derivatives, and Perp DEX scenarios. You will work closely with Risk Management, Quantitative Research, Engineering, Data, Trading Operations, Legal, Compliance, and regional market teams to translate risk-control methodologies into configurable, verifiable, and observable platform capabilities. Success in this role means continuously improving liquidity, users’ capital efficiency, and the trading experience while safeguarding platform resilience and market integrity. What You’ll Be Doing Drive product planning and roadmap execution. Own product discovery and delivery across risk parameter governance, AI-agent workflow automation, controlled execution, and price protection. Translate risk-control needs and operating SOPs into product requirements, priorities, 3-12-month delivery plans, and success metrics; partner with engineering, risk, quant, data, and operations teams to launch, measure adoption, and iterate. R esearch and iterate on risk-control methodologies. Research, formulate, and continuously improve risk-control methodologies, including pricing logic, risk-scoring models, and approaches for handling market volatility. B uild platform-level risk controls. Build and optimize platform-level risk-control mechanisms to ensure stability under extreme market conditions. D rive effective implementation of risk systems. Collaborate with engineers, quants, data analysts, and other stakeholders to ensure risk systems are effectively implemented and continuously monitored. Drive continuous improvement. Continuously improve the product through feedback loops and retrospective analysis of past market incidents or system performance. Stay close to markets and users. Maintain regular communication with traders, institutional clients, and market-making teams. Continuously study crypto and traditional financial market structures, competitor mechanisms, and regulatory changes; determine when to lead and when to fast-follow; and adjust product priorities accordingly. Strengthen team methodologies and AI leverage. Codify risk product methodologies, decision records, parameter dictionaries, and incident case libraries, and mentor other product managers. Design automation and AI-native workflows to improve efficiency in analysis, configuration review, monitoring and troubleshooting, documentation, and product operations.. What We Look For In You Five or more years of product management experience in trading-related domains. Be familiar with trading system principles, understanding users' trading, and be able to identify risky scenarios. An AI-native approach to work, with the ability to design multi-step automation or agentic workflows incorporating tool use, retrieval, evaluation, and human-review checkpoints, together with an understanding of the access-control and audit boundaries required in risk-control contexts. Strong systems thinking and technical judgment, with the ability to work closely with engineering and quantitative teams on real-time, highly available, data-intensive systems and the related configuration, monitoring, resilience, and audit requirements. Experience in data-driven product decision-making and risk change management, with the ability to define effective metrics and drive continuous improvement through simulation, backtesting, stress testing, production monitoring, and incident reviews. Mature cross-functional leadership and project execution capabilities. Rigorous logical thinking, clear written and verbal communication, and fluency in both Chinese and English, with the ability to collaborate effectively with clients and cross-functional teams across global and Chinese-language working environments. A bachelor’s degree or higher, preferably in a quantitative or technical field such as Computer Science, Finance, Engineering, or Mathematics. Nice-To-Haves A deep understanding of the trading and risk mechanisms for spot, margin, perpetuals, expiry futures, or options, with familiarity with core concepts including the order lifecycle, margin, leverage, liquidation, position tiers, index price, mark price, and price limits. Experience working at a digital asset exchange, securities or futures exchange, brokerage, clearing platform, market-making firm, quantitative trading firm, or another high-throughput trading environment. Experience scaling automation, AI agents, or human-in-the-loop workflows in safety-critical environments. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity The Core Trading Risk Product team builds the core trading infrastructure and platform-level risk capabilities that support OKX’s spot and derivatives businesses across multiple account and margin modes. We are looking for a Senior Product Manager to lead the delivery of trading risk workflow automation, agentic parameter governance, agent-driven execution, and foundational price-protection capabilities. Your scope will also include margin-tier rules, collateral haircuts, price limits, index price, and mark price across spot, derivatives, and Perp DEX scenarios. You will work closely with Risk Management, Quantitative Research, Engineering, Data, Trading Operations, Legal, Compliance, and regional market teams to translate risk-control methodologies into configurable, verifiable, and observable platform capabilities. Success in this role means continuously improving liquidity, users’ capital efficiency, and the trading experience while safeguarding platform resilience and market integrity. What You’ll Be Doing Drive product planning and roadmap execution. Own product discovery and delivery across risk parameter governance, AI-agent workflow automation, controlled execution, and price protection. Translate risk-control needs and operating SOPs into product requirements, priorities, 3-12-month delivery plans, and success metrics; partner with engineering, risk, quant, data, and operations teams to launch, measure adoption, and iterate. R esearch and iterate on risk-control methodologies. Research, formulate, and continuously improve risk-control methodologies, including pricing logic, risk-scoring models, and approaches for handling market volatility. B uild platform-level risk controls. Build and optimize platform-level risk-control mechanisms to ensure stability under extreme market conditions. D rive effective implementation of risk systems. Collaborate with engineers, quants, data analysts, and other stakeholders to ensure risk systems are effectively implemented and continuously monitored. Drive continuous improvement. Continuously improve the product through feedback loops and retrospective analysis of past market incidents or system performance. Stay close to markets and users. Maintain regular communication with traders, institutional clients, and market-making teams. Continuously study crypto and traditional financial market structures, competitor mechanisms, and regulatory changes; determine when to lead and when to fast-follow; and adjust product priorities accordingly. Strengthen team methodologies and AI leverage. Codify risk product methodologies, decision records, parameter dictionaries, and incident case libraries, and mentor other product managers. Design automation and AI-native workflows to improve efficiency in analysis, configuration review, monitoring and troubleshooting, documentation, and product operations.. What We Look For In You Five or more years of product management experience in trading-related domains. Be familiar with trading system principles, understanding users' trading, and be able to identify risky scenarios. An AI-native approach to work, with the ability to design multi-step automation or agentic workflows incorporating tool use, retrieval, evaluation, and human-review checkpoints, together with an understanding of the access-control and audit boundaries required in risk-control contexts. Strong systems thinking and technical judgment, with the ability to work closely with engineering and quantitative teams on real-time, highly available, data-intensive systems and the related configuration, monitoring, resilience, and audit requirements. Experience in data-driven product decision-making and risk change management, with the ability to define effective metrics and drive continuous improvement through simulation, backtesting, stress testing, production monitoring, and incident reviews. Mature cross-functional leadership and project execution capabilities. Rigorous logical thinking, clear written and verbal communication, and fluency in both Chinese and English, with the ability to collaborate effectively with clients and cross-functional teams across global and Chinese-language working environments. A bachelor’s degree or higher, preferably in a quantitative or technical field such as Computer Science, Finance, Engineering, or Mathematics. Nice-To-Haves A deep understanding of the trading and risk mechanisms for spot, margin, perpetuals, expiry futures, or options, with familiarity with core concepts including the order lifecycle, margin, leverage, liquidation, position tiers, index price, mark price, and price limits. Experience working at a digital asset exchange, securities or futures exchange, brokerage, clearing platform, market-making firm, quantitative trading firm, or another high-throughput trading environment. Experience scaling automation, AI agents, or human-in-the-loop workflows in safety-critical environments. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey's Enterprise Sales Manager, Singapore will be the founding sales leader in the market, responsible for establishing and scaling Harvey's enterprise go-to-market motion across Southeast Asia. This role will build and coach a team of high-performing Account Executives driving the growth of Harvey's AI solutions within the legal and professional services markets in the region. As the first sales manager on the ground in Singapore, this person will define the local playbook, develop regional client relationships, and serve as a key member of Harvey's APAC founding team. The ideal candidate is a self-starter who can navigate ambiguity, operate in a fast-paced environment, and build from scratch with limited oversight — combining the mindset of a player-coach with the strategic vision to scale. This is a rare opportunity to shape Harvey's presence in one of the world's most dynamic legal markets from the ground up. WHAT YOU'LL DO - Establish Harvey's enterprise sales presence in Singapore, building the foundation for a high-performing regional team. - Recruit, mentor, and lead a team of consultative, solution-based Enterprise sales professionals as the market grows. - Own long-term strategy and day-to-day operations of the Singapore sales team, including pipeline development, forecasting, and revenue targets. - Develop and adapt Harvey's sales playbook for the Southeast Asian market, documenting learnings that can be applied regionally. - Work cross-functionally with Product, Marketing, Legal Engineering, and Customer Success to build effective processes and solutions for regional clients. - Cultivate relationships with law firms, in-house legal teams, and professional services organizations across the region. WHAT YOU HAVE - 10+ years of tech sales experience and 5+ years of people management experience. - Experience building or scaling Enterprise sales teams in APAC or emerging markets, ideally within SaaS or legal technology. - Proven track record of selling complex software solutions to enterprise clients using a consultative, value-based selling methodology. - Strong communication skills with the ability to clearly articulate technical concepts to a variety of audiences, including senior legal professionals. - Demonstrated passion for AI and its potential applications in knowledge work, with interest in the legal profession and helping lawyers work more effectively. - Energized by ambiguity, early-stage environments, and building foundational processes from the ground up. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/singapore-applicant-privacy-notice. #LI-GE1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a Senior Data Scientist to analyze complex airport operational and passenger experience challenges using statistical methods, machine learning, natural language processing, segmentation, and experimental approaches. In this role, you will work closely with product, operations, and engineering teams to identify opportunities, generate actionable insights, and support strategic decision making with data. You will apply advanced analytical techniques to understand problems deeply, validate hypotheses, and guide business prioritization. The Airport Touchpoint domain focuses on enhancing the passenger experience across airport operations, from arrival through boarding, while improving the operational processes that support the journey. This role is centered on deep problem discovery, leveraging statistical analysis, machine learning, natural language processing, segmentation, and exploratory analytics to uncover insights, identify improvement opportunities, and provide data driven evidence for strategic decision making and prioritization. You will transform complex operational and customer experience data into actionable recommendations that drive measurable business impact. Analyze complex business and operational challenges using statistical modeling, clustering, natural language processing, and exploratory data analysis. Generate actionable insights and supporting evidence to guide strategic prioritization across airport teams. Apply advanced statistical techniques including hypothesis testing, inference, and multivariate analysis. Conduct segmentation, clustering, principal component analysis, embeddings, and other dimensionality reduction techniques. Build lightweight machine learning and natural language processing models including topic modeling, classification, and semantic grouping. Design experiments and apply causal inference methodologies to evaluate business impact. Develop reproducible analytical pipelines and datasets using Python and SQL. Create dashboards and visualizations that support executive decision making. Collaborate with Product, Airport Operations, Data Engineers, and other stakeholders to guide strategy through data driven insights. Promote analytical rigor, documentation standards, reproducibility, and data driven decision making practices. 5+ years of experience in Data Science, Applied Analytics, or a related field. Strong foundation in statistics, hypothesis testing, inference, and multivariate analysis. Experience with segmentation, clustering, principal component analysis, and embeddings. Hands on experience with machine learning and natural language processing techniques including topic modeling, classification, and semantic analysis. Strong background in experimental design and causal inference. Proficiency in Python, including Pandas, NumPy, scikit learn, and StatsModels. Advanced SQL skills. Experience building end to end machine learning models and reproducible analytical pipelines. Strong data visualization skills and experience creating decision oriented dashboards. Ability to communicate analytical findings effectively to executive and non technical audiences. Experience collaborating across cross functional teams and influencing decisions through data. Experience working in Agile environments. Fluency in Spanish. Intermediate English for documentation and cross team collaboration. Experience in airport operations or logistics. Familiarity with GCP tools (BigQuery, Dataform, Dataflow, Pub/Sub). Experience scaling analyses and collaborating closely with Data Engineers. Core Competences Analytical curiosity and deep problem understanding. Experimental and impact-oriented mindset. Autonomy, ownership, and critical thinking. Ability to turn complex findings into actionable recommendations. Clear communication with both technical and non-technical teams.

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for an ML/AI Engineer with solid knowledge of cloud technologies, Infrastructure as Code (IaC), CI/CD practices, and software engineering best practices, focused on designing, building, and operationalizing Generative AI based solutions. You will join a strategic initiative within the Emantto domain, contributing to the acceleration of the organization's AI portfolio across multiple business areas. This role combines ML/AI engineering with strong software engineering, cloud, and infrastructure expertise. You will build and operate Generative AI driven data products, support domain teams, and act as a facilitator for the Data & AI Platform. Develop and deliver data products and AI/Generative AI solutions within domain teams. Act as a facilitator of the Data & AI Platform, enabling adoption and accelerating delivery across teams. Build, deploy, and operate Generative AI and Machine Learning models in scalable, production ready environments. Manage infrastructure related aspects of environments and AI/ML products, including observability, performance, and reliability. Contribute to CI/CD pipelines, Infrastructure as Code practices, and platform automation initiatives. Collaborate with cross functional teams, including Software Engineering, Data Engineering, MLOps, and DevOps teams, to maintain high engineering standards. Support experimentation frameworks and internal tools for Generative AI model development and evaluation. Experience working with Google Cloud Platform (GCP). Experience with Terraform or other Infrastructure as Code tools. Strong proficiency in Python. Experience in backend engineering, including APIs and services, as well as Generative AI, Machine Learning, or MLOps technologies such as Airflow, MLflow, pipelines, and monitoring tools. Solid understanding of CI/CD practices, containerization using Docker, and software engineering best practices. Familiarity with model deployment, model serving, and operating Machine Learning and AI systems in production environments. Experience with observability, incident response, or platform operations.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Staff Software Engineer on the GTM AI Engineering (Claudification) team, you will build the agents and AI systems that run Anthropic's own go-to-market work. Our sellers already work alongside agents every day. You will take things to the next step and build agents that run complete autonomous motions across areas like inbound, outbound, and pipeline management. In addition, you’ll build eval frameworks that prove those agents are ready for customer-facing work and are driving value. This is a senior role where you’ll drive technical direction for agents and evals across our team. Working closely with sellers, RevOps, and our platform engineering partners, you'll own projects from first prototype through production operation. You'll combine full-stack engineering (MCP servers, agentic systems, web applications, etc.) with hands-on evaluation work (behavior benchmarks, production monitoring, ROI measurement), and help architect the shared platforms that builders from across our go-to-market org contribute to. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing AI engineering function at a pivotal moment in the company's growth. Key responsibilities Build and operate autonomous agents that run go-to-market motions end to end, across areas like inbound, outbound, pipeline management, and customer engagement Design the human oversight for each motion: approval gates, handoffs, and escalation paths that keep sellers in control Develop evaluation frameworks for agent behavior, and run them in development and in production Instrument model and tool calls in production, and build the observability and measurement that ties agent actions to pipeline and revenue Ship MCP servers, agent skills, and web applications that connect to systems like our CRM, communication tools, and data warehouse Set the technical direction for how we build, evaluate, and operate agents across the team Architect shared codebases that builders from across go-to-market contribute to, setting the conventions and review practices that keep quality high Work directly with sellers to ground agent designs in real workflows, and iterate based on what you observe Identify repeatable patterns and contribute insights back to Anthropic's Product and Engineering teams Maintain strong knowledge of the latest developments in LLM capabilities, agent frameworks, and evaluation techniques Minimum qualifications Strong programming skills in Python or TypeScript, with experience building and operating production applications Production experience with LLMs, including context engineering, agent development, MCP development, tool use, and evaluation frameworks Experience using evals and transcript analysis to find and fix real problems in an LLM system Working fluency with data, including SQL Ability to navigate ambiguity and ship without a spec, finding simple solutions to complex problems Passion for advancing safe, beneficial AI, and care for the people who use what you build Preferred qualifications 8+ years in roles such as software engineer, ML engineer, or forward deployed engineer. Former technical founders are encouraged to apply Experience with the Claude Code and the Claude Agent SDK Experience with go-to-market systems (CRM, sales engagement, enrichment, conversation intelligence) or time working closely with a revenue team Experience growing a codebase that many people contribute to, inner-source or open-source Applied ML and experimentation background: A/B testing, propensity models, recommendations, or causal analysis Exceptional communication skills to convey technical concepts to non-technical partners with low ego Representative projects (Illustrative of the kind of work, not a project list.) Build an agent that takes a routine sales workflow from first signal to a drafted, human-reviewed action Stand up the eval suite for an agent: seed scenarios, scoring rubrics, and regression runs on every change Ship an MCP server that gives sellers and their agents governed access to a core revenue system Design a shared repository where go-to-market builders publish agents and skills, with the tests and review rules that keep it healthy Build a predictive model that explains itself, so an agent can tell a seller why it suggests an action The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Workplace: Remote We are growing our support team at ClickHouse, and we're looking for a Senior Technical Customer Support Engineer, Federal, to serve the specific needs of our U.S. public sector customers, federal agencies, and the contractors and integrators who support them. This role sits within our global Support Engineering team but has a dedicated focus to deliver the same excellent, technically deep support our commercial customers rely on, while meeting the compliance, security, and operational constraints that federal environments require. You'll be the primary technical point of contact for customers operating ClickHouse in government-authorized environments, triaging and resolving support cases, guiding customers through secure deployment and operational best practices, and partnering closely with our Product, Engineering, and Go-To-Market teams to make sure ClickHouse's platform meets the bar federal customers require. This is a U.S. Persons-only role. Because of the export-control status of the data, systems, and customer environments involved, all candidates must independently qualify as U.S. Persons before being considered. This applies regardless of visa sponsorship status, work authorization, or physical location within the U.S. Beyond this requirement, you'll also need to be prepared to work within the access, communication, and documentation controls that federal engagements demand. What you will be doing: - Serving as the primary technical support contact for ClickHouse's U.S. federal and public-sector customers, across cases, chat, Slack, and meetings, consistent with applicable federal communication and data-handling requirements - Developing solutions based on ClickHouse Cloud and ClickHouse open-source, and sharing them with federal customers and internal teams via documentation, knowledge base articles, and internal runbooks tailored to government deployment patterns - Guiding customers through deployment, configuration, and troubleshooting within government-authorized environments, including AWS GovCloud-adjacent infrastructure where applicable - Working closely with our global Support Services, Engineering, Security/Compliance, Product Management, and Go-To-Market teams to represent the requirements of federal customers and help prioritize the roadmap accordingly - Supporting technical aspects of federal POCs, security questionnaires, and Authority to Operate (ATO)-adjacent evaluations in partnership with Go-To-Market and Security teams And of course: - You will deliver excellent customer service as a technical engineer and representative of ClickHouse to our federal customer base. Our Support Engineers provide professional response, on-call coverage, and guidance within required SLAs on technical cases opened via the ticketing system, email, Slack, chat, and/or phone - You will build strong, trusted relationships with colleagues, customers, and partners, including government program stakeholders and the systems integrators and resellers who support them What you bring along: - Required: U.S. Person status, as defined above and verified during the interview process prior to any offer - Technical breadth and depth in ClickHouse open-source or ClickHouse Cloud, or in domains relevant to ClickHouse, such as SQL databases, OLAP, cloud-native SaaS, and distributed systems - Previous technical experience in roles such as Support Engineer, Consultant, Database Administrator, Site Reliability Engineer, Solutions Engineer, Software Engineer, and/or Systems Engineer - Proven experience developing familiarity with the operational and compliance realities of federal IT environments (e.g., FedRAMP, DOD IL, AWS GovCloud, air-gapped or sovereign-cloud deployments) - Strong communication skills, sound judgment around sensitive data handling - A mindset of teamwork, empathy, and solving challenging problems under the additional rigor that government customers require - You are self-driven, curious, and eager to continuously learn and grow Bonus points: - Prior experience supporting federal, state/local/education (SLED), or other public-sector customers in a technical support, TAM, or solutions engineering capacity - Experience with FedRAMP-authorized services, AWS GovCloud, Azure Government, or equivalent sovereign/air-gapped cloud environments - An active or recently active U.S. government security clearance (not required, but a plus for future-facing work with more sensitive agencies) - Experience with ClickHouse - Experience with OSS and open-source technologies, as a user, community member, or contributor - Experience with data pipelines such as Kafka, Kinesis, Spark, RabbitMQ, or others PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: New York, New York, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Senior Product Manager, AI (Enterprise AI) Location: New York City, NY Experience Level: 8+ years Compensation: $200,000 - $230,000 base salary + equity Work Model: Hybrid Why Join Enterprise AI? Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it. As a Senior Product Manager, AI, you’ll work with global financial services clients to set the direction for and build AI solutions inside their most critical back-office functions. You’ll partner with managing directors and business owners, go deep on areas like fund accounting, books and records, and core accounting, and work alongside Turing’s engineering team to turn that understanding into AI products that deliver measurable business value. This is a product role for someone who drives direction, not someone who only manages a backlog. As a Senior Product Manager, AI, You Will Find the Problem Worth Solving We are looking for an experienced Senior Product Manager to lead the strategy, roadmap, and execution for platforms supporting Back Office Operations, especially around Fund controller accounting and Global Business Finance. The ideal candidate brings strong product management experience combined with deep knowledge of financial operations, operational controls, and controller functions. This role will partner closely with business stakeholders, engineering, and operations teams to modernize back-office platforms and improve operational efficiency. While familiarity with AI is a plus, the primary focus is on delivering business value through well-designed operational systems rather than building AI solutions. Work directly with senior leadership, managing directors, and business owners to understand how each part of the business operates, uncover where AI can create the most value, and turn that into a clear product vision, roadmap, and set of priorities. Go Deep on the Business Learn each domain you take on (fund accounting, books and records, core accounting, and beyond) in depth, and translate its workflows, controls, and pain points into AI product requirements that meet audit and governance standards. Ship AI That Works Lead AI products from discovery through delivery. Define and run evals to measure model and agent quality, design human-in-the-loop workflows that keep operators in control, and coordinate with engineering on the backlog, user stories, milestones, dependencies, and risks. Our Senior Product Managers Typically Have Product leadership in financial services: 8+ years as a Product Manager or Product Owner, with significant time in financial services and strong BFSI domain literacy. Shipped AI products: A track record of taking LLM-based or agentic products to production. Hands-on evals and human-in-the-loop design: Experience defining evals for AI systems and designing workflows where people and AI work together. AI fluency: Hands-on depth with AI tools and platforms such as ChatGPT, Copilot, Gemini, and Claude, well beyond basic familiarity. Executive stakeholder management: The ability to earn trust with senior business leaders, manage roadmaps and priorities, and keep engineering and business teams aligned. Nice to have: Fund accounting experience (NAV integrity, break resolution, exception management, controller sign-off) or hands-on time with Geneva/SS&C, Eagle, Advent, Paxus, or similar platforms. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is bringing data center capacity online faster than the industry has ever attempted, and the owner-furnished equipment (OFE) that makes a site live — switchgear, transformers, UPS, generators, busway, PDUs, chillers, CDUs, air handlers, dry coolers, pumps and piping skids — is long-lead, high-value, and sits squarely on the construction critical path. When a transformer slips three weeks at the factory, a data hall slips three weeks at the site. We're hiring a Supply Chain Delivery Manager to own that equipment from purchase order to dock. You will be the site-facing supply chain lead for a regional portfolio of data center projects: tracking every OFE line item against the construction schedule, running factory and logistics escalations with OEMs, holding suppliers and general contractors accountable for delivery performance, and giving leadership a clear, converged picture of delivery risk across the portfolio. Your job is to make sure equipment production and delivery are never the reason a site misses its ready-for-service date. This is a senior individual-contributor role on the Compute DC Infrastructure team, working daily with Construction, Electrical and Mechanical Engineering, Strategic Sourcing, Commissioning, and our general contractors and OEMs. It is not a category-management or negotiation role — Sourcing owns supplier strategy and commercial terms — and it is not a people-management role. The emphasis is execution: schedules, escalations, logistics, and site readiness. What You'll Do Delivery planning and schedule integration Own the end-to-end OFE delivery plan for each site in your portfolio: order placement, engineering submittal/approval milestones, production slots, FAT dates, ship dates, and required-on-site (ROS) dates, integrated with the GC's construction schedule. Engage during preconstruction with Construction, Engineering, and the GC to set OFE delivery expectations, sequence equipment arrivals to the build, and identify schedule risk before POs are cut. Lead OFE kickoff meetings at the site level with the GC and internal construction teams, establishing points of contact, delivery windows, receiving requirements, and escalation paths. Maintain the single source of truth for OFE status across the portfolio — a live tracker of every line item, its milestone dates, and its risk rating. Supplier execution and escalation Run weekly delivery cadences with OEMs and integrators on open orders; verify production progress against committed slots rather than accepting reported dates at face value. Act as the primary escalation point for factory slips, component shortages, FAT failures, and shipping delays; drive recovery plans (expedites, partial ships, resequencing, alternate sources) with Sourcing and Engineering. Partner with Sourcing on corporate-level supplier escalations, bringing site-level schedule intelligence to commercial conversations. Hold GC OFCI teams accountable for receiving, storage, and installation-readiness performance; manage the change/claim process when delivery issues affect the GC's schedule. Logistics and site readiness Plan and coordinate transportation for oversize/overweight and high-value equipment — carrier selection, route surveys, permits, crane and rigging coordination — with our logistics partners and the GC. Manage laydown, staging, and interim storage decisions when site readiness and equipment arrival diverge; coordinate with Quality and Commissioning on receiving inspection and storage/preservation requirements. Ensure equipment arrives complete — accessories, spares, documentation, and vendor startup support scheduled — so installation and commissioning are not delayed by missing pieces. Risk management and reporting Identify, triage, and report delivery risks across the portfolio; propose solutions and drive decisions to protect capacity milestones. Establish and lead recurring Capacity Delivery Reviews giving leadership converged visibility into OFE delivery status and risk by site and by equipment category. Track delivery KPIs — on-time-to-ROS, schedule drift by supplier and category, escalation cycle time, expedite spend — and use them to surface systemic issues. Feed lessons learned back into Sourcing (lead-time assumptions, contract delivery terms, buffer strategy) and Construction (ROS sequencing) to improve the next program. Who You Are 8–12+ years in supply chain delivery, equipment expediting, construction management, or infrastructure program management on large-scale, schedule-driven construction programs. Hands-on experience delivering power and/or cooling equipment for mission-critical facilities — transformers, switchgear, generators, UPS, busway, chillers, CDUs, air handlers — and familiarity with how those OEMs actually build and ship. You've managed cross-functional escalations across construction teams, suppliers, and internal partners, and you know when to expedite, when to resequence, and when to escalate commercially. Comfortable reading and influencing construction schedules (P6 or MS Project) and tying equipment milestones to them. Strong written and verbal communication — you can turn a messy delivery problem into a one-page recommendation for leadership. Data-fluent: you build and maintain trackers and dashboards, and you'd rather look at the numbers than trust a status email. Thrive with high autonomy in a fast-moving, ambiguous environment; you own outcomes, not just updates. Bachelor's degree in Supply Chain, Engineering, Construction Management, or a related field, or equivalent experience. Nice to Have Experience with hyperscale or AI data center construction and OFCI (owner-furnished, contractor-installed) delivery models. Experience supporting multiple concurrent projects (5–10+) across a regional portfolio. Working knowledge of FAT/SAT and commissioning workflows and how equipment documentation gates them. Heavy-haul / project logistics experience, including international freight, customs, and Incoterms. Technical understanding of data center electrical distribution and cooling system design. Familiarity with ERP/procurement systems and analytics tools (SQL, Power BI/Tableau, Smartsheet/Procore). PMP, CSCP, or similar certification. Logistics Location: [San Francisco / hybrid, or remote US near the regional portfolio?] Travel: [up to 40%] to construction sites in the regional portfolio and to supplier factories as needed. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Ontario, CAN About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Sales Lead, Canada Public Sector at Anthropic, you'll drive the adoption of safe, frontier AI across the Canadian public sector. You'll leverage your deep understanding of Canadian government operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the Canadian public-sector market while maintaining the highest standards of security and compliance. This is a national role anchored in the National Capital Region, supporting the Government of Canada, provincial/territorial governments, Canada's national security and defence community, crown corporations, and the broader public sector. Responsibilities: Drive new business and revenue growth across the Canadian public sector, with the Government of Canada as the primary focus and provincial/territorial governments, crown corporations, and the broader public sector as secondary coverage, owning the full sales cycle from initial outreach through deployment Navigate how the Government of Canada buys cloud and AI services, including software licensing supply arrangements, federal cloud brokering, resale through Canadian partners, consumption via cloud provider marketplaces, competitive tendering, and Indigenous procurement considerations Build and maintain relationships with key decision-makers across the Government of Canada, including departmental Chief Information Officers and Chief Data Officers, senior program executives, central agency and procurement stakeholders, and mission owners, becoming a trusted advisor on AI capabilities and implementation Develop and execute strategic account plans that align with departmental mandates and modernization initiatives, positioning Anthropic early in major programs to shape requirements before they are finalized Navigate Canadian security and compliance requirements, including data classification levels, federal security control profiles, assessment and authorization, data-residency requirements, and personnel security clearances Coordinate closely with cloud service providers and system integrators to ensure successful deployment and integration Represent Anthropic at Canadian public-sector and partner events, including industry days, conferences, and cloud provider events, raising Anthropic's profile through speaking engagements and community engagement Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet Canadian public-sector requirements, including responsible-AI obligations under the Treasury Board Directive on Automated Decision-Making and the Algorithmic Impact Assessment Create and maintain sales playbooks specific to Canadian public-sector use cases and procurement processes Generate pipeline and own territory and account planning across your assigned Canadian public-sector accounts, maintaining hands-on engagement with key accounts Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements, engaging bilingually (English/French) with federal institutions and Quebec public-sector customers where required You may be a good fit if you have: 7+ years of enterprise sales experience in the Canadian public sector, the majority selling to the Government of Canada, with a proven track record of driving adoption of emerging technologies Deep understanding of federal department and agency mandates, challenges, and technology needs, with working knowledge of provincial/territorial and broader public-sector buyers Demonstrated ability to balance strategic account leadership with hands-on sales execution Familiarity with how the Government of Canada buys and secures cloud and AI services, with the judgment to navigate these processes alongside partners, capture, and deal teams Strong track record of exceeding revenue targets and closing large, complex, long-cycle public-sector deals Ability to be based in the National Capital Region, with travel across Canada as needed Eligibility to obtain and maintain a Government of Canada personnel security clearance (Reliability Status; Secret an asset) Executive presence and relationship-building skills across all levels, from technical teams to senior agency leadership (ADM/DG) Proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators Professional working proficiency in French, sufficient to support Quebec public-sector engagement and bilingual delivery of customer-facing material Strategic thinking combined with attention to detail in execution A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $420,000 — $495,000 CAD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York, NY, United States About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow - from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. The Opportunity As a Staff Engineer on our Distributed Systems team, you'll be at the core of what makes Fanatics Markets work — the event-driven infrastructure that powers real-money trading at scale. This is a hands-on, high-ownership role on a sprint-based team, where you'll work alongside our engineer leaders to build the systems that keep our markets liquid and our book healthy at peak volume. Real money is on the line every time our system quotes a price — the work is technically demanding, commercially consequential, and directly visible in daily P&L snapshots the whole team sees. You won't be handed a spec. You'll be expected to understand the trading business well enough to write one, and to care about outcomes beyond just shipping the feature. Responsibilities Design, build, and scale distributed systems using Kotlin, Java, and Spring Boot, architecting for the traffic spikes and concurrency demands of a live real-money trading platform. Own the development and optimization of high-throughput event pipelines using Kafka, including partition strategy, consumer group design, and exactly-once processing guarantees. Design and build systems that process high-throughput, low-latency event streams — ensuring data integrity, cache coherence, and sub-millisecond read paths under peak load. Partner with product and engineering leadership to align cross-domain technical decisions, contributing domain expertise while preserving architectural integrity Diagnose and durably fix production issues in a live trading environment, distinguishing pricing latency, strategy misfires, mapping errors, and adverse selection patterns Proactively identify performance bottlenecks and technical risk before they affect trading operations Raise engineering standards through design docs, code/architecture reviews, and patterns that scale as product expands Qualifications 7+ years building scalable, fault-tolerant distributed systems in production Expert-level proficiency in Java or Kotlin and Spring Boot, with a strong command of modern API design — REST, gRPC, and Protobuf. Deep hands-on experience with Kafka (or Redpanda/Pub Sub) — including internal mechanics, partition strategies, consumer group rebalancing, and delivery guarantees. Deep experience with event-driven architecture and async messaging — consumer group strategies, partition schemes, delivery guarantees under real production load Demonstrated end-to-end domain ownership — designed, built, operated, and improved systems, not just shipped features Strong performance instincts — latency, throughput, and data pipeline efficiency, with a track record of measuring what matters Clear, direct communicator — comfortable writing a design doc, explaining a production failure to a trader, or debating trade-offs with a principal engineer High tolerance for ambiguity and speed — comfortable deploying daily and making good calls while the spec is still being written. Preferred Experience with real-time delivery systems — WebSocket fan-out, server-sent events, or pub/sub at scale. Familiarity with financial platforms, real-time trading systems, or prediction markets. Experience in a high-growth startup environment where ownership is broad and the technical landscape evolves quickly. Familiarity with FIX protocol or exchange connectivity patterns. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-Remote #LI-AL1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $180,500 — $237,500 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: United Kingdom - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: The Manager of Customer Success Management (CSM) will report to the Director of Customer Success, working collaboratively to achieve company goals and advance customer success initiatives across the Enterprise segments. As a leader within the Customer Success organization, this role will partner closely with cross-functional teams to support and scale the CSM function. The ideal candidate brings strong people management skills, experience operating in high-volume, scaled customer environments, and a focus on driving efficient, data-informed customer engagement, retention, and growth strategies. What you’ll do: Leadership and People Management: Build, lead, and mentor a team of CSMs supporting Enterprise customers Foster a collaborative, high-performance, and customer-centric culture Provide coaching, performance management, and career development support Drive accountability through clear goals, metrics, and regular feedback Segment Strategy and Execution: Partner with Customer Success and cross-functional leaders to define segment-specific strategies Execute programs tailored to Enterprise customer needs Design and operationalize engagement models Ensure consistency in customer journeys while adapting for segment nuances Customer Management: Maintain visibility into adoption, health scores, and engagement metrics across the portfolio Guide the team in identifying churn risks and expansion opportunities Drive proactive outreach and intervention based on data insights Support account reviews and leverage segment-level insights to improve outcomes Client Engagement and Advocacy: Ensure strong stakeholder relationships across Enterprise accounts Deliver consistent value through interactions Capture and synthesize customer feedback to inform internal teams Act as the voice of the customer to influence product and go-to-market strategy Retention and Growth: Collaborate with Sales, Product, and Marketing to drive adoption and expansion Support renewal strategies and improve retention outcomes across segments Leverage data to contribute to accurate forecasting and pipeline visibility Identify and scale growth opportunities within the Enterprise base Operational Excellence: Implement and refine processes that enable scale and efficiency Improve team productivity through tooling, automation, and best practices Standardize workflows and reporting for consistency and visibility Monitor industry trends and evolve engagement strategies accordingly What we're looking for: 4+ years of experience in Customer Success, Technical Account Management, or related fields Prior people management experience with a track record of developing high-performing teams Experience supporting Enterprise or high-ARR customer segments Experience with high-touch customer success models Background in Cybersecurity, DevOps, or a related technical domain preferred Strong operational mindset with experience building or optimizing processes Proven ability to drive retention and growth in a metrics-driven environment Excellent communication and interpersonal skills across diverse audiences Bachelor’s degree in a relevant field; advanced degree preferred Currently located in the United Kingdom Compensation: up to £150,000 base salary + bonus (depending on experience) If your experience is close but doesn’t fulfill all requirements, please apply. Chainguard is on a mission to build the best team. To achieve our goal, we are focused on hiring “Guardians'' with unique backgrounds, perspectives, and experiences. About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: Thessaloniki, Greece Workplace: hybrid About Adapt   Adapt, a Welo Global brand, is an international digital performance marketing agency focused on driving the success of digital content across platforms and markets. We offer our customers a unique combination of global services designed to support their growth from strategy all the way through to execution, production, and performance measurement. With a collaborative and inclusive environment, you will join a unique culture which celebrates difference and embraces diversity. You will play a key role in developing strong relationships and shared ethos, whilst at the same time benefiting from a wide range of career opportunities, training, and flexibility for work-life balance.     Our culture is built on curiosity, and we are looking for team members who have a passion for learning about the developments in the industry, their clients, and their peers. In return, we offer the opportunity to develop your ability and exposure to a wide range of clients from growth-minded startups all the way up to global enterprise clients. Our client base is predominantly focused on B2B businesses, though we do also support customers in the e-commerce and retail space. Regardless of vertical, Adapt offers dynamic and diverse challenges that foster creativity, innovation and application of knowledge to create client solutions. Overview At Welo, an SEO Account Specialist leads strategic SEO initiatives across a diverse portfolio of global clients. You’ll leverage technical expertise and a data-driven mindset to develop, execute, and optimise comprehensive SEO strategies that drive measurable business outcomes. Job Description Develop and contribute to comprehensive SEO strategies, including technical audits, content optimisation, and off-site initiatives. Oversee SEO performance tracking and deliver actionable insights through advanced reporting. Collaborate cross-functionally with content, development, and localisation teams to implement SEO best practices. Help identify opportunities to further improve efficiency or quality of work delivered. Own the day-to-day delivery of SEO work against customer objectives. Lead comprehensive SEO audits, identifying and addressing technical issues. Manage and optimise on-page and off-page SEO campaigns. Develop and execute advanced keyword strategies for content optimisation. Oversee and refine link-building strategies to enhance domain authority. Analyse and report on SEO performance metrics, providing actionable insights. Stay updated with the latest SEO trends and algorithm changes. Required experience and background Ideally 2+ years experience in SEO. Any prior exposure to other digital marketing channels is a plus. Ability to work collaboratively with cross-functional teams. Up-to-date knowledge of SEO trends and algorithm changes. Advocate and demonstrable impact on insights and delivery. Ideal Skillset Ability to conduct comprehensive SEO audits and competitive analysis. Experience in leading SEO projects and initiatives. Strong data analysis skills to derive actionable insights and optimise strategies. Experience in developing and executing advanced keyword strategies.

Location: Ukraine; Azerbaijan About the Role OneDome is a UK-based property technology company on a mission to make buying, selling and financing a home simpler and faster. Our platform connects homebuyers, estate agents, conveyancers and mortgage brokers into a single digital journey, and it is scaling quickly. We hold a great deal of data on how customers move through buying, financing and conveyancing, and very little of it can currently be queried in one place. This is our first dedicated data engineering role. You will own our data warehouse and the pipelines that feed it, decide what the data platform looks like, and become the person the business relies on for answers. What You'll Do Develop and maintain our AWS-based data platform for a quickly scaling business. Build and own our data warehouse and the pipelines that feed it from product, CRM and third-party systems. Model data for analytics and reporting so analysts, product and leadership can rely on it, and keep those models tested and documented. Contribute to architecture decisions and technical direction across the platform. Ensure data quality, performance and scalability. Own data protection obligations within our pipelines, including retention, deletion and subject access requests. Collaborate with product managers, analysts and engineers across distributed teams to deliver high-impact solutions. Leverage AI-powered engineering tools to accelerate delivery while maintaining high standards of quality, security and operational excellence. Basic Qualifications 5+ years of professional experience building and running production data pipelines end to end. Data warehouse design and modelling, including dimensional modelling, slowly changing dimensions, incremental and full-refresh builds, and schemas analysts can query unaided. Hands-on production experience with Redshift, including loading strategies, distribution and sort key design, workload management, query tuning and cost control. An equivalent columnar warehouse (Snowflake, BigQuery) is acceptable with a credible transfer story. Experience running dbt in production, including testing, documentation and CI. Strong SQL, including tuning analytical queries, and strong Python. Experience with relational and NoSQL databases, including Postgres (with JSONB) and DynamoDB or equivalent, and real experience getting analytical value out of NoSQL stores through change data capture, export patterns, denormalisation and schema drift. Hands-on experience designing, deploying and operating data services on AWS, including S3, Glue, Athena, Lambda, EventBridge, Kinesis/Firehose, RDS, IAM and CloudWatch. Experience with infrastructure automation and observability, including infrastructure as code (Terraform). Experience handling regulated personal data in the UK, including GDPR, retention and subject access requests. Comfortable using AI coding assistants (e.g. Claude Code, Cursor, GitHub Copilot) as part of the development workflow. Strong communication skills in English. Russian is a plus. Preferred Qualifications Microsoft Dynamics 365 or Dataverse data extraction (Synapse Link, Dataverse API). Mortgage, property or financial services domain experience. Experience with BI tooling such as Looker or Metabase. Familiarity with managed ingestion tools such as Fivetran or Airbyte. AWS certification. What We Offer Challenging tasks with a great opportunity to level up your skills. 20 working days of paid vacation, with additional days off following the UK holiday calendar. Working hours of 9:00-17:00 London time. An international team spread across Ukraine and Azerbaijan. Ready to Build? OneDome is small enough that your work is visible and large enough that it matters. This is the first data role here, so the warehouse, the models and the standards will be yours to set. If you want to help reshape one of the biggest transactions in people's lives, we would love to hear from you. Salary: $4,500 – $5,500

Location: Poland Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. We're hiring Senior Product Designers for Credit & Cards (credit application, card issuance, and repayment experiences used by real businesses managing real money). You'll own design from discovery through delivery, turning complex financial workflows into experiences that are simple, trustworthy, and easy to act on — working closely with Product, Engineering, Analytics, and Research. What You’ll Do Own end-to-end design for your domain — from problem framing and research to shipped, polished UI. Use research, product data, and customer feedback to guide and defend design decisions. Collaborate with Product Managers, Engineers, and Analysts to scope work and define outcomes. Hands-on experience designing native mobile app products (iOS/Android), you should be comfortable with mobile-specific interaction patterns and constraints (touch, limited screen space, performance, offline states) Contribute to the design system, improving consistency, accessibility, and craft across the interface. Design credit application, card issuance, and repayment experiences that build trust in complex financial decisions. Translate compliance and risk requirements (credit checks, KYC, repayment terms) into clear, honest, usable flows. Balance conversion goals with responsible communication of risk and cost to the customer. Who You Are 4+ years of experience in product design, with ownership of complex, multi-step user flows. A strong portfolio showing user-centered thinking and polished interaction/visual craft. Hands-on experience designing native mobile app products (iOS/Android), you should be comfortable with mobile-specific interaction patterns and constraints (touch, limited screen space, performance, offline states) Experience designing platforms with multiple states, permissions, edge cases, and dependencies. Comfortable using research, data, and business context to defend design decisions in cross-functional squads. Fluent professional English Nice to Have Fintech, SaaS, or other regulated/complex-industry experience (not required — a plus). Prior experience with lending, payments, or KYC/compliance flows. Regular use of AI tools (e.g. prototyping, research synthesis) in your workflow. Hiring Process Step 1: Async Portfolio Review — We review your portfolio link and one written response to assess craft and design quality before scheduling any calls. Step 2: Hiring Manager Call — A video chat with VP of Design focusing on your ownership, drive, and collaborative style. Step 3: Take-Home Assignment — A practical Finom product case study (3–5 days turnaround) evaluated for strategic thinking, user insights, and design execution. Step 4: Live Presentation & Cross-Functional Interview — A full walkthrough and Q&A with design and product leads. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Japan is one of the most sophisticated enterprise technology markets in the world, and one where partners, not vendors, typically own the customer relationship. The Head of Partnerships, Japan will build and lead the team that makes Anthropic's partner ecosystem the primary route to Japanese enterprise. You will set the partner strategy for Japan, develop the team that executes it, and own the partner-sourced and partner-influenced pipeline, revenue and attach rate for the country. You will personally lead our most strategic partner relationships at the executive level while coaching your team to do the same across the GSI, regional SI, and reseller landscape. This is a player-coach role for an experienced partner leader who has built and scaled partner businesses in Japan before, ideally for a US technology company entering or growing in the market. You will work day to day with the Japan sales leadership and the in-region Applied AI team, represent Japan within Anthropic's International Partnerships organisation, and carry the voice of Japanese partners and customers into our global product and go-to-market decisions. Key responsibilities Lead and build the team Hire, develop and retain a high-performing Japan partner team spanning GSI, regional SI and reseller coverage, sized and structured to the market opportunity Set clear goals, territories and partner portfolios for each team member, and hold the team accountable to pipeline, revenue and attach-rate outcomes Establish the team's operating cadence: one-on-ones, weekly pipeline reviews, deal inspection, partner QBRs and quarterly business planning Coach the team on executive engagement, joint business planning and co-selling in Japanese enterprise accounts, and model those behaviours personally Set and own the Japan partner strategy Define which partner segments, partners and motions Anthropic prioritises in Japan, and in what sequence, based on revenue potential, customer reach and strategic fit Design the partner coverage model across our partner landscape (NTT DATA, Fujitsu, NEC, Hitachi, Accenture and others), and where we go deep vs. broad. Localise Anthropic's global partner program for Japan, including tiers, incentives, enablement paths and rules of engagement, and feed Japan requirements back into the global program design Own the annual and quarterly partner business plan for Japan and report on it to International Partnerships leadership Lead our most strategic partnerships Own the executive relationships with Anthropic's most consequential partners in Japan, from joint business planning through to board-level sponsorship on both sides Negotiate and structure partnership agreements, including resale, co-development and revenue-sharing constructs, working with Legal, Finance and Deal Desk Lead the creation of joint solutions and industry offerings with partner practices in manufacturing, financial services, retail, telecommunications, life sciences and the public sector Own partner pipeline, revenue and attach rate Carry the Japan partner-sourced and partner-influenced pipeline and revenue targets, and the partner attach-rate target, for the team Run a disciplined forecast with the team and with Japan sales leadership, ensuring partner deals are registered, progressed and closed with predictability Decide where to deploy partner investments (market development funds, enablement, co-marketing, headcount) for the highest return Build the reporting and systems hygiene that gives International Partnerships and Anthropic leadership a clear, trusted view of the Japan partner business Represent Japan and drive cross-functional execution Act as the single point of accountability for the partner business in Japan with Japan sales leadership, the Applied AI organisation, Marketing, Legal and Product Ensure Japanese partner and customer requirements, including language, data residency, security and sovereignty needs, are understood and prioritised by global product and engineering teams Partner with the Japan sales leader to embed partners into account planning and co-selling for the country's priority accounts Resolve channel conflict between direct sales, SIs and resellers, and set the rules of engagement that keep the ecosystem healthy as it grows Be the face of Anthropic's partner ecosystem in Japan Represent Anthropic at partner executive forums, industry conferences and analyst engagements related to the partner ecosystem Sponsor the development of Japanese customer success stories, delivered with partners, that resonate with Japanese enterprise buyers Build Anthropic's reputation as the partner-first AI company in Japan through the way your team shows up every day Minimum qualifications Experience in enterprise technology, with a substantial portion leading partner, alliances or channel businesses in Japan People leadership experience over partner or alliance teams, with a track record of hiring, developing and retaining strong performers Direct experience building a partner business in Japan for a US or global technology company, ideally through a period of rapid growth or market entry (hyperscaler, enterprise SaaS, data or AI platform) Proven ownership of partner-sourced and partner-influenced revenue targets at a country or regional level, with the forecasting discipline to match Established executive relationships with Japan's major system integrators, consulting firms, and a reputation they would vouch for Experience negotiating complex partnership structures: resale agreements, joint solution development, and revenue-sharing or incentive models Demonstrated ability to operate as a player-coach, personally owning strategic relationships while building a team that scales beyond you Comfort shaping strategy in ambiguity and turning it into an operating plan, while working closely with global teams in other time zones Business-level fluency in Japanese and English, and the cultural fluency to move between Japanese enterprise norms and a fast-moving US company Based in Tokyo Preferred qualifications 15 to 20+ years in enterprise technology leading partner, alliances or channel businesses in Japan and 5+ years of people leadership over partner or alliance teams Experience with AI, data or cloud platform partnerships specifically, including partner-built solutions and marketplace motions Experience on the partner side, inside a Japanese SI or distributor, and an understanding of how those organisations make decisions Experience localising a global partner program for Japan and influencing its design Experience working alongside professional services or applied AI teams to deliver partner-led customer outcomes Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Dublin, Ireland About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. At Fanatics Betting & Gaming (FBG), a core division of Fanatics' mission to establish the ultimate end-to-end digital sports platform, we're crafting a world where every aspect of a sports fan's passion is catered to. As a Staff Engineer with Trading Engineering, you'll be thrust into the innovative heart of our risk and trading domain, where the technical challenges are as diverse as they are complex. Experience great learning opportunities where you'll engage with cutting-edge technologies and methodologies to build and enhance real-time systems that not only support FBG's operations but are integral to Fanatics' broader goal of revolutionizing sports fan engagement, in an environment that fosters innovation and personal development. In this dynamic and supportive environment, your work will directly impact the development of sophisticated systems, driving innovation in how sports fans engage with the Fanatics ecosystem and deliver FBG product. You'll tackle unique technical challenges within our real-time decision-making systems, ensuring our platform remains at the forefront of the industry. Here, your professional growth is as vital as our platform's evolution, ensuring you develop alongside our mission to revolutionize the sports experience for fans worldwide. Responsibilities Contribute to the design and implementation of scalable, secure, and high-performance solutions within our event-driven architecture, focusing on enhancing system reliability and efficiency. Assist in analyzing and addressing complex problems in multifaceted systems to improve overall performance and scalability. Write efficient, modular, and testable code that adheres to our commitment to innovation and quality standards. Support the product lifecycle from concept through development and deployment, and beyond, ensuring smooth operation and reliability of our platform. Communicate effectively, escalating challenges as necessary and participating in code reviews to elevate code quality and foster knowledge sharing Collaborate seamlessly with Product, Quant and Engineering teams to ensure timely delivery of stable and reliable applications aligned with our product vision. Play an active role in team discussions on planning and design, gaining insights into design philosophies and contributing to our product's evolution. Enhance software quality through focusing on testability, operational metrics, and comprehensive documentation. Become a product minded engineer developing a fundamental understanding of our industry, product, feature set and roadmap Engage in mentorship opportunities to both learn and share knowledge, promoting personal and team growth. Support critical operations through participation in an on-call rotation Be willing to travel occasionally for special events and for essential offsite meetings and team collaboration sessions. Experience and Skills At least 8+years of real-world demonstrable experience building & deploying scalable, high-performance applications. Proven technical leadership at staff level: you’ve led the design and delivery of complex systems across multiple teams, set technical direction, and mentored engineers, whether as a tech lead or through other formal or informal leadership. 5+  years of experience with C# and cloud platforms (Azure a plus). Effective communication skills, capable of demystifying complex technical topics for diverse audiences. Excellent analytical and problem-solving skills. Thrives in an entrepreneurial, hyper-growth environment where priorities evolve regularly and decisions are made quickly. Team-first mentality, with a willingness to do what it takes to get the job done and a desire to strive for better. Understanding of software design, development, and testing principles including SOLID, DRY, TDD, BDD. Passion for software development and system architecture and sharing knowledge within a highly collaborative team. Familiarity with sports betting or a keen interest in sports is desirable. Experience of building software using Domain Driven Design (DDD) Ability to translate business needs into technical solutions. Experience in partnering with cross-functional teams. Experience working in a start-up environment Passionate about working in a highly collaborative team environment Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply! Please note that visa sponsorship is not available for this position. We are open to fully remote candidates based in Ireland or UK , but we strongly encourage those who can join us on campus two days per week . For information about our benefits, please visit https://benefitsatfanatics.com/ By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .